Triple
T7030186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anatolian beyliks |
E163248
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Inanjid beylik
The Inanjid beylik was a small medieval Turkish principality in Anatolia that emerged following the decline of Seljuk authority.
|
E637548
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Inanjid beylik | Statement: [Anatolian beyliks, hasPart, Inanjid beylik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inanjid beylik Context triple: [Anatolian beyliks, hasPart, Inanjid beylik]
-
A.
Alaybey
Alaybey is a neighborhood and tram stop area in the Karşıyaka district of İzmir, Turkey, integrated into the city's modern public transportation network.
-
B.
Bab Berdieyinne
Bab Berdieyinne is a historic city gate in Meknes, Morocco, notable as part of the fortified entrances to the old medina.
-
C.
beylerbey
A beylerbey was a high-ranking provincial governor in the Ottoman Empire who commanded military forces and oversaw administration within a large territorial unit called a beylerbeylik.
-
D.
Beilul
Beilul is a small coastal settlement in Eritrea located along the Red Sea in the Southern Red Sea Region.
-
E.
Buniyaad
Buniyaad is a landmark Indian television drama series that aired in the late 1980s, depicting the impact of the Partition of India on a Punjabi family.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Inanjid beylik Triple: [Anatolian beyliks, hasPart, Inanjid beylik]
Generated description
The Inanjid beylik was a small medieval Turkish principality in Anatolia that emerged following the decline of Seljuk authority.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Inanjid beylik Target entity description: The Inanjid beylik was a small medieval Turkish principality in Anatolia that emerged following the decline of Seljuk authority.
-
A.
Alaybey
Alaybey is a neighborhood and tram stop area in the Karşıyaka district of İzmir, Turkey, integrated into the city's modern public transportation network.
-
B.
Bab Berdieyinne
Bab Berdieyinne is a historic city gate in Meknes, Morocco, notable as part of the fortified entrances to the old medina.
-
C.
beylerbey
A beylerbey was a high-ranking provincial governor in the Ottoman Empire who commanded military forces and oversaw administration within a large territorial unit called a beylerbeylik.
-
D.
Beilul
Beilul is a small coastal settlement in Eritrea located along the Red Sea in the Southern Red Sea Region.
-
E.
Buniyaad
Buniyaad is a landmark Indian television drama series that aired in the late 1980s, depicting the impact of the Partition of India on a Punjabi family.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c6885d691c81908cf7d31083113886 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e20dbc8c8190a7446290747d8078 |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c775919734819083beb10b4c2b146e |
completed | March 28, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_69c7791d319881909470d0fa5f38f68e |
completed | March 28, 2026, 6:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c779f5342881909085cae84299831c |
completed | March 28, 2026, 6:49 a.m. |
Created at: March 27, 2026, 2:35 p.m.