Triple
T1734791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palaic |
E37896
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Palaite
Palaite is an ancient Anatolian language, closely related to Hittite and Luwian, once spoken in the region of Pala in north-central Anatolia.
|
E193311
|
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: Palaite | Statement: [Palaic, hasAlternativeName, Palaite]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Palaite Context triple: [Palaic, hasAlternativeName, Palaite]
-
A.
Skvyra
Skvyra is a town in central Ukraine historically known for its significant Jewish community and cultural life in the 19th and early 20th centuries.
-
B.
Vardzia
Vardzia is a medieval cave monastery complex in southern Georgia, renowned for its extensive rock-cut dwellings and frescoed church.
-
C.
Palilula
Palilula is one of the urban municipalities of Belgrade, Serbia, encompassing both central city neighborhoods and outlying suburban and rural areas.
-
D.
Navotas
Navotas is a coastal city in the Philippines known as part of Metro Manila’s fishing and fishport hub.
-
E.
Priebus
Priebus is the surname of Reince Priebus, an American attorney and political operative who served as White House Chief of Staff under President Donald Trump.
- 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: Palaite Triple: [Palaic, hasAlternativeName, Palaite]
Generated description
Palaite is an ancient Anatolian language, closely related to Hittite and Luwian, once spoken in the region of Pala in north-central Anatolia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Palaite Target entity description: Palaite is an ancient Anatolian language, closely related to Hittite and Luwian, once spoken in the region of Pala in north-central Anatolia.
-
A.
Skvyra
Skvyra is a town in central Ukraine historically known for its significant Jewish community and cultural life in the 19th and early 20th centuries.
-
B.
Vardzia
Vardzia is a medieval cave monastery complex in southern Georgia, renowned for its extensive rock-cut dwellings and frescoed church.
-
C.
Palilula
Palilula is one of the urban municipalities of Belgrade, Serbia, encompassing both central city neighborhoods and outlying suburban and rural areas.
-
D.
Navotas
Navotas is a coastal city in the Philippines known as part of Metro Manila’s fishing and fishport hub.
-
E.
Priebus
Priebus is the surname of Reince Priebus, an American attorney and political operative who served as White House Chief of Staff under President Donald Trump.
- 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_69a8861cc6ac8190ac0b2e31ccf62851 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63a2168c819093d302632ff4b7c2 |
completed | March 6, 2026, 5:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8afd15a881909a5d55dd960799d1 |
completed | March 8, 2026, 2:43 p.m. |
| NEDg | Description generation | batch_69ad957e9a6c81909d52bf2def797526 |
completed | March 8, 2026, 3:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad97b6c03881909f278594e800c0f5 |
completed | March 8, 2026, 3:37 p.m. |
Created at: March 4, 2026, 7:30 p.m.