Triple
T14969801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argao |
E373285
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object |
Jomgao
Jomgao is a barangay (village-level administrative division) within the municipality of Argao in the province of Cebu, Philippines.
|
E1129967
|
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: Jomgao | Statement: [Argao, hasBarangay, Jomgao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jomgao Context triple: [Argao, hasBarangay, Jomgao]
-
A.
Yodogimi
Yodogimi was a prominent late-Sengoku and early Edo period noblewoman of Japan, best known as the favored consort of Toyotomi Hideyoshi and the mother of his heir, Toyotomi Hideyori.
-
B.
Yachimun
Yachimun is the traditional Okinawan pottery style known for its rustic forms, vivid glazes, and deep roots in Ryukyuan culture and craftsmanship.
-
C.
Gorokan
Gorokan is a coastal suburb on the Central Coast of New South Wales, Australia, known for its residential areas and proximity to waterways and beaches.
-
D.
Mahwa
Mahwa is a town located in the Dausa district of the Indian state of Rajasthan.
-
E.
Tajuan
Tajuan is the given first name of former NFL cornerback Ty Law.
- 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: Jomgao Triple: [Argao, hasBarangay, Jomgao]
Generated description
Jomgao is a barangay (village-level administrative division) within the municipality of Argao in the province of Cebu, Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jomgao Target entity description: Jomgao is a barangay (village-level administrative division) within the municipality of Argao in the province of Cebu, Philippines.
-
A.
Yodogimi
Yodogimi was a prominent late-Sengoku and early Edo period noblewoman of Japan, best known as the favored consort of Toyotomi Hideyoshi and the mother of his heir, Toyotomi Hideyori.
-
B.
Yachimun
Yachimun is the traditional Okinawan pottery style known for its rustic forms, vivid glazes, and deep roots in Ryukyuan culture and craftsmanship.
-
C.
Gorokan
Gorokan is a coastal suburb on the Central Coast of New South Wales, Australia, known for its residential areas and proximity to waterways and beaches.
-
D.
Mahwa
Mahwa is a town located in the Dausa district of the Indian state of Rajasthan.
-
E.
Tajuan
Tajuan is the given first name of former NFL cornerback Ty Law.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6e59a7c8190a1634a706ea68fda |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8be6ce68819099f841d83c6ca33d |
completed | May 9, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_69fe8e512adc8190a1cf47f1713a968f |
completed | May 9, 2026, 1:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe8ec3d718819098629558bc007496 |
completed | May 9, 2026, 1:32 a.m. |
Created at: April 10, 2026, 2:49 a.m.