Triple
T16595604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perrhaebia |
E403196
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Doliche
Doliche was an ancient city of Perrhaebia in northern Thessaly, Greece, known from classical historical and geographical sources.
|
E1222834
|
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: Doliche | Statement: [Perrhaebia, hasCity, Doliche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doliche Context triple: [Perrhaebia, hasCity, Doliche]
-
A.
Edessa
Edessa is a historic city in northern Greece renowned for its picturesque waterfalls and ancient heritage.
-
B.
Edessa
Edessa was an ancient city in Upper Mesopotamia, renowned as a major early center of Syriac Christianity and culture.
-
C.
Hierapolis
Hierapolis was an ancient Greco-Roman city in Phrygia (modern-day Turkey), known for its hot springs and as an early center of Christianity.
-
D.
Ancyra
Ancyra is the ancient name of the city now known as Ankara, the capital of modern Turkey and a historically significant center in Anatolia.
-
E.
Hierapolis Bambyce
Hierapolis Bambyce was an important ancient Syrian city, famed as a major religious center dedicated to the goddess Atargatis and known in later times as Manbij.
- 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: Doliche Triple: [Perrhaebia, hasCity, Doliche]
Generated description
Doliche was an ancient city of Perrhaebia in northern Thessaly, Greece, known from classical historical and geographical sources.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Doliche Target entity description: Doliche was an ancient city of Perrhaebia in northern Thessaly, Greece, known from classical historical and geographical sources.
-
A.
Edessa
Edessa is a historic city in northern Greece renowned for its picturesque waterfalls and ancient heritage.
-
B.
Edessa
Edessa was an ancient city in Upper Mesopotamia, renowned as a major early center of Syriac Christianity and culture.
-
C.
Hierapolis
Hierapolis was an ancient Greco-Roman city in Phrygia (modern-day Turkey), known for its hot springs and as an early center of Christianity.
-
D.
Ancyra
Ancyra is the ancient name of the city now known as Ankara, the capital of modern Turkey and a historically significant center in Anatolia.
-
E.
Hierapolis Bambyce
Hierapolis Bambyce was an important ancient Syrian city, famed as a major religious center dedicated to the goddess Atargatis and known in later times as Manbij.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35d717604819083ed60b865bbd13e |
completed | April 18, 2026, 10:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00759fe6ec81908c5321dcba558269 |
completed | May 10, 2026, 12:10 p.m. |
| NEDg | Description generation | batch_6a007825547c81909230ac39761fba96 |
completed | May 10, 2026, 12:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00788e103481908d40bbe4a3cb1695 |
completed | May 10, 2026, 12:22 p.m. |
Created at: April 10, 2026, 5:16 a.m.