Triple
T16340989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Jose, Negros Oriental |
E396802
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object |
Siapo
Siapo is a rural barangay (village-level administrative division) of the city of San Jose in the province of Negros Oriental, Philippines.
|
E1206639
|
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: Siapo | Statement: [San Jose, Negros Oriental, hasBarangay, Siapo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siapo Context triple: [San Jose, Negros Oriental, hasBarangay, Siapo]
-
A.
Savu
Savu is a small Indonesian island in the Lesser Sunda chain, known for its traditional culture, dry climate, and location between Sumba and Timor.
-
B.
Suawa
Suawa is an Austronesian language spoken by the Suwawa people of North Sulawesi, Indonesia.
-
C.
Sapang
Sapang is a barangay (village-level administrative division) within Cavite City in the province of Cavite, Philippines.
-
D.
Nalolo
Nalolo is a regional dialect of the Silozi language spoken by communities in parts of western Zambia.
-
E.
Sapri
Sapri is a coastal town in southern Italy known for its scenic Gulf of Policastro setting and role as a seaside resort in the Campania 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: Siapo Triple: [San Jose, Negros Oriental, hasBarangay, Siapo]
Generated description
Siapo is a rural barangay (village-level administrative division) of the city of San Jose in the province of Negros Oriental, Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Siapo Target entity description: Siapo is a rural barangay (village-level administrative division) of the city of San Jose in the province of Negros Oriental, Philippines.
-
A.
Savu
Savu is a small Indonesian island in the Lesser Sunda chain, known for its traditional culture, dry climate, and location between Sumba and Timor.
-
B.
Suawa
Suawa is an Austronesian language spoken by the Suwawa people of North Sulawesi, Indonesia.
-
C.
Sapang
Sapang is a barangay (village-level administrative division) within Cavite City in the province of Cavite, Philippines.
-
D.
Nalolo
Nalolo is a regional dialect of the Silozi language spoken by communities in parts of western Zambia.
-
E.
Sapri
Sapri is a coastal town in southern Italy known for its scenic Gulf of Policastro setting and role as a seaside resort in the Campania 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2da09dcf48190b6fdd14b1812c56a |
completed | April 18, 2026, 1:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00261cf0648190b4dd5ff79de7e315 |
completed | May 10, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_6a0026c9b5c481908f60d2ebfb3f71d7 |
completed | May 10, 2026, 6:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00273dd8fc8190b84b8a96442781ee |
completed | May 10, 2026, 6:35 a.m. |
Created at: April 10, 2026, 5:07 a.m.