Triple
T28291118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laiya Beach |
E713427
|
entity |
| Predicate | hasNearbyBarangay |
P194412
|
FINISHED |
| Object |
Laiya-Aplaya
Laiya-Aplaya is a coastal barangay in San Juan, Batangas, Philippines, known for its proximity to the popular resort-lined Laiya Beach.
|
E1812350
|
NE FINISHED |
How this triple was built (3 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: Laiya-Aplaya | Statement: [Laiya Beach, hasNearbyBarangay, Laiya-Aplaya]
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: Laiya-Aplaya Triple: [Laiya Beach, hasNearbyBarangay, Laiya-Aplaya]
Generated description
Laiya-Aplaya is a coastal barangay in San Juan, Batangas, Philippines, known for its proximity to the popular resort-lined Laiya Beach.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyBarangay Context triple: [Laiya Beach, hasNearbyBarangay, Laiya-Aplaya]
-
A.
neighboringBarangay
Indicates that two barangays are directly adjacent to each other, sharing a common boundary or border.
-
B.
hasUrbanBarangays
Indicates that a place or administrative unit possesses one or more barangays classified as urban.
-
C.
hasComponentBarangays
Indicates that an entity (typically a municipality, city, or similar administrative unit) is composed of or includes specific barangays as its subunits.
-
D.
hasNumberOfBarangays
Indicates the total count of barangays associated with a given administrative unit or locality.
-
E.
isUrbanBarangay
Indicates that a given barangay is classified as urban rather than rural.
- F. None of above. chosen
Provenance (7 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_69efb52371d88190a1381c4e58a3b731 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69fd6f9d600c8190acf495b7fc632e4b |
completed | May 8, 2026, 5:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a16072cc3448190a34ab2f55678a662 |
completed | May 26, 2026, 8:48 p.m. |
| NEDg | Description generation | batch_6a161361ba748190b59b1155e7f27b98 |
completed | May 26, 2026, 9:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1614891498819096109f9a10904797 |
completed | May 26, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69fd6e98a2948190a9f78c415ad23b8c |
completed | May 8, 2026, 5:03 a.m. |
| PDg | Predicate description generation | batch_69fd6f9a8bd881909983fe8f4cd0ba98 |
completed | May 8, 2026, 5:07 a.m. |
Created at: April 27, 2026, 11:29 p.m.