Triple
T3424641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transylvania |
E72198
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Turda
Turda is a historic town in central Romania’s Transylvania region, known for its ancient salt mine and significant Roman and medieval heritage.
|
E358030
|
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: Turda | Statement: [Transylvania, containsCity, Turda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turda Context triple: [Transylvania, containsCity, Turda]
-
A.
Tura
Tura is a prominent town in the Indian state of Meghalaya, serving as a major administrative, cultural, and economic center in the Garo Hills region.
-
B.
Tura
Tura is a district in southern Cairo, Egypt, historically known for its limestone quarries used in ancient Egyptian monuments.
-
C.
Pallatanga
Pallatanga is a rural town and canton in central Ecuador known for its agricultural activities and scenic Andean surroundings.
-
D.
Zamárdi
Zamárdi is a popular Hungarian resort town on the southern shore of Lake Balaton, known for its beaches, lakeside recreation, and summer festivals.
-
E.
Troizen
Troizen is an ancient town in the northeastern Peloponnese of Greece, traditionally associated with the myths of Theseus and located within the region of Argolid.
- 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: Turda Triple: [Transylvania, containsCity, Turda]
Generated description
Turda is a historic town in central Romania’s Transylvania region, known for its ancient salt mine and significant Roman and medieval heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Turda Target entity description: Turda is a historic town in central Romania’s Transylvania region, known for its ancient salt mine and significant Roman and medieval heritage.
-
A.
Tura
Tura is a prominent town in the Indian state of Meghalaya, serving as a major administrative, cultural, and economic center in the Garo Hills region.
-
B.
Tura
Tura is a district in southern Cairo, Egypt, historically known for its limestone quarries used in ancient Egyptian monuments.
-
C.
Pallatanga
Pallatanga is a rural town and canton in central Ecuador known for its agricultural activities and scenic Andean surroundings.
-
D.
Zamárdi
Zamárdi is a popular Hungarian resort town on the southern shore of Lake Balaton, known for its beaches, lakeside recreation, and summer festivals.
-
E.
Troizen
Troizen is an ancient town in the northeastern Peloponnese of Greece, traditionally associated with the myths of Theseus and located within the region of Argolid.
- 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_69ad85ae14308190bcbc25cfa0246c0b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb97fa2d88190a79cb8c7be4b3696 |
completed | March 8, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3547468b8819088e7c4cf3b2e2079 |
completed | March 13, 2026, 12:04 a.m. |
| NEDg | Description generation | batch_69b35519b7f08190b1ea7514036c3453 |
completed | March 13, 2026, 12:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b358fba2208190bc66d5f7d0009ba4 |
completed | March 13, 2026, 12:23 a.m. |
Created at: March 8, 2026, 3:15 p.m.