Triple
T19438905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Miguel, Manila |
E486296
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object |
Barangay 763
Barangay 763 is a local administrative unit within the San Miguel district of Manila in the Philippines.
|
E1440670
|
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: Barangay 763 | Statement: [San Miguel, Manila, hasBarangay, Barangay 763]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barangay 763 Context triple: [San Miguel, Manila, hasBarangay, Barangay 763]
-
A.
Barangay 760
Barangay 760 is a local administrative unit within the San Miguel district of Manila in the Philippines.
-
B.
Barangay 736
Barangay 736 is a small local administrative unit within the San Miguel district of Manila in the Philippines.
-
C.
Barangay 762
Barangay 762 is a small local administrative unit within the district of San Miguel in Manila, Philippines.
-
D.
Barangay 663
Barangay 663 is a small local administrative unit within the San Miguel district of Manila in the Philippines.
-
E.
Barangay 673
Barangay 673 is a local administrative unit within the San Miguel district of Manila in the Philippines.
- 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: Barangay 763 Triple: [San Miguel, Manila, hasBarangay, Barangay 763]
Generated description
Barangay 763 is a local administrative unit within the San Miguel district of Manila in the Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barangay 763 Target entity description: Barangay 763 is a local administrative unit within the San Miguel district of Manila in the Philippines.
-
A.
Barangay 760
Barangay 760 is a local administrative unit within the San Miguel district of Manila in the Philippines.
-
B.
Barangay 736
Barangay 736 is a small local administrative unit within the San Miguel district of Manila in the Philippines.
-
C.
Barangay 762
Barangay 762 is a small local administrative unit within the district of San Miguel in Manila, Philippines.
-
D.
Barangay 663
Barangay 663 is a small local administrative unit within the San Miguel district of Manila in the Philippines.
-
E.
Barangay 673
Barangay 673 is a local administrative unit within the San Miguel district of Manila in the Philippines.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633637ea48190bfa36b0b0a2762bc |
completed | April 20, 2026, 2:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08bafa6c60819085ff1d365a18d79c |
completed | May 16, 2026, 6:44 p.m. |
| NEDg | Description generation | batch_6a08bba2e85881909ae887fc5bc3121f |
completed | May 16, 2026, 6:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08bc410f008190b00bf4956d591176 |
completed | May 16, 2026, 6:49 p.m. |
Created at: April 10, 2026, 1:38 p.m.