Triple
T16132243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gévaudan |
E391426
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Gabali
Gabali were an ancient Gallic tribe that inhabited the region corresponding to modern-day Gévaudan in south-central France.
|
E1195341
|
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: Gabali | Statement: [Gévaudan, namedAfter, Gabali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gabali Context triple: [Gévaudan, namedAfter, Gabali]
-
A.
Gabrì
Gabrì is an Italian diminutive or affectionate short form of the given name Gabriele.
-
B.
Jabali
Jabali is a surname most notably associated with Warren Jabali, an American professional basketball player known for his standout career in the ABA.
-
C.
Lugbarati
Lugbarati is an alternative name for the Lugbara language, a Central Sudanic language spoken primarily by the Lugbara people of northwestern Uganda and neighboring regions of the Democratic Republic of the Congo and South Sudan.
-
D.
Zabban
Zabban is an alternate given name of Abu Amr ibn al-Ala, a prominent early Islamic scholar and one of the canonical readers of the Qur’an.
-
E.
Galoli
Galoli is an Austronesian language spoken primarily in East Timor, particularly along the northern coast and in the Manatuto region.
- 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: Gabali Triple: [Gévaudan, namedAfter, Gabali]
Generated description
Gabali were an ancient Gallic tribe that inhabited the region corresponding to modern-day Gévaudan in south-central France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gabali Target entity description: Gabali were an ancient Gallic tribe that inhabited the region corresponding to modern-day Gévaudan in south-central France.
-
A.
Gabrì
Gabrì is an Italian diminutive or affectionate short form of the given name Gabriele.
-
B.
Jabali
Jabali is a surname most notably associated with Warren Jabali, an American professional basketball player known for his standout career in the ABA.
-
C.
Lugbarati
Lugbarati is an alternative name for the Lugbara language, a Central Sudanic language spoken primarily by the Lugbara people of northwestern Uganda and neighboring regions of the Democratic Republic of the Congo and South Sudan.
-
D.
Zabban
Zabban is an alternate given name of Abu Amr ibn al-Ala, a prominent early Islamic scholar and one of the canonical readers of the Qur’an.
-
E.
Galoli
Galoli is an Austronesian language spoken primarily in East Timor, particularly along the northern coast and in the Manatuto region.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21a02172c8190978f7951ccd80928 |
completed | April 17, 2026, 11:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2b1b7248190a1bba4a87db8318b |
completed | May 10, 2026, 2:51 a.m. |
| NEDg | Description generation | batch_69fff3478bfc8190bbcc0afbf6dbb089 |
completed | May 10, 2026, 2:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fff3d29f50819093a9355d016f48dd |
completed | May 10, 2026, 2:56 a.m. |
Created at: April 10, 2026, 5:01 a.m.